IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v68y2022i6p4398-4414.html
   My bibliography  Save this article

Managerial Regret and Inventory Pricing

Author

Listed:
  • Meng Li

    (C. T. Bauer College of Business, University of Houston, Houston, Texas 77204)

  • Yan Liu

    (International Institute of Finance, School of Management, University of Science and Technology of China, Hefei 230026, China)

Abstract

In this paper, we study a regretful seller’s problem of selling a fixed number of goods over a finite and known time horizon. The seller engages in counterfactual thinking to compare her selected price with other forgone alternatives. If a forgone alternative (ex post) generates a better outcome than the selected one, then the seller experiences regret. We characterize the pricing decision of a regretful seller and find that, although regret leads the seller to set a price that is lower than that set by an unbiased seller, the regretful seller employs decision policies whose structure is similar to those of the unbiased seller: the price decreases with the remaining inventory and increases with the time-to-go. Interestingly, we find that the seller who has a greater number of goods does not necessarily receive greater revenue.

Suggested Citation

  • Meng Li & Yan Liu, 2022. "Managerial Regret and Inventory Pricing," Management Science, INFORMS, vol. 68(6), pages 4398-4414, June.
    • Handle: RePEc:inm:ormnsc:v:68:y:2022:i:6:p:4398-4414
    DOI: 10.1287/mnsc.2021.4073
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.2021.4073
    Download Restriction: no
    File URL: https://libkey.io/10.1287/mnsc.2021.4073?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. David E. Bell, 1982. "Regret in Decision Making under Uncertainty," Operations Research, INFORMS, vol. 30(5), pages 961-981, October.
    2. Maurice E. Schweitzer & Gérard P. Cachon, 2000. "Decision Bias in the Newsvendor Problem with a Known Demand Distribution: Experimental Evidence," Management Science, INFORMS, vol. 46(3), pages 404-420, March.
    3. J. Neil Bearden & Ryan O. Murphy & Amnon Rapoport, 2008. "Decision Biases in Revenue Management: Some Behavioral Evidence," Manufacturing & Service Operations Management, INFORMS, vol. 10(4), pages 625-636, June.
    4. Matthew Rabin & Ted O'Donoghue, 1999. "Doing It Now or Later," American Economic Review, American Economic Association, vol. 89(1), pages 103-124, March.
    5. David E. Bell, 1983. "Risk Premiums for Decision Regret," Management Science, INFORMS, vol. 29(10), pages 1156-1166, October.
    6. Guillermo Gallego & Garrett van Ryzin, 1994. "Optimal Dynamic Pricing of Inventories with Stochastic Demand over Finite Horizons," Management Science, INFORMS, vol. 40(8), pages 999-1020, August.
    7. Ioannis Stamatopoulos & Christos Tzamos, 2019. "Design and Dynamic Pricing of Vertically Differentiated Inventories," Management Science, INFORMS, vol. 65(9), pages 4222-4241, September.
    8. Manel Baucells & Lin Zhao, 2019. "It Is Time to Get Some Rest," Management Science, INFORMS, vol. 65(4), pages 1717-1734, April.
    9. Richard Engelbrecht-Wiggans & Elena Katok, 2008. "Regret and Feedback Information in First-Price Sealed-Bid Auctions," Management Science, INFORMS, vol. 54(4), pages 808-819, April.
    10. Javad Nasiry & Ioana Popescu, 2012. "Advance Selling When Consumers Regret," Management Science, INFORMS, vol. 58(6), pages 1160-1177, June.
    11. Gabriel Bitran & René Caldentey & Susana Mondschein, 1998. "Coordinating Clearance Markdown Sales of Seasonal Products in Retail Chains," Operations Research, INFORMS, vol. 46(5), pages 609-624, October.
    12. Gabriel R. Bitran & Susana V. Mondschein, 1997. "Periodic Pricing of Seasonal Products in Retailing," Management Science, INFORMS, vol. 43(1), pages 64-79, January.
    13. Emel Filiz-Ozbay & Erkut Y. Ozbay, 2007. "Auctions with Anticipated Regret: Theory and Experiment," American Economic Review, American Economic Association, vol. 97(4), pages 1407-1418, September.
    14. Xin Chen & Peng Hu & Zhenyu Hu, 2017. "Efficient Algorithms for the Dynamic Pricing Problem with Reference Price Effect," Management Science, INFORMS, vol. 63(12), pages 4389-4406, December.
    15. Andrew M. Davis & Elena Katok & Anthony M. Kwasnica, 2011. "Do Auctioneers Pick Optimal Reserve Prices?," Management Science, INFORMS, vol. 57(1), pages 177-192, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Cao, Erbao & Tang, Jing, 2024. "Managing regretful newsvendors and supply chain performance through target-setting," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 183(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Diecidue, Enrico & Somasundaram, Jeeva, 2017. "Regret theory: A new foundation," Journal of Economic Theory, Elsevier, vol. 172(C), pages 88-119.
    2. Zhong-Zhong Jiang & Guangwen Kong & Yinghao Zhang, 2021. "Making the Most of Your Regret: Workers’ Relocation Decisions in On-Demand Platforms," Manufacturing & Service Operations Management, INFORMS, vol. 23(3), pages 695-713, May.
    3. Meng Li & Tao Li, 2022. "AI Automation and Retailer Regret in Supply Chains," Production and Operations Management, Production and Operations Management Society, vol. 31(1), pages 83-97, January.
    4. Jeeva Somasundaram & Enrico Diecidue, 2017. "Regret theory and risk attitudes," Journal of Risk and Uncertainty, Springer, vol. 55(2), pages 147-175, December.
    5. Zhang, Guoquan & Li, Guohao & Shang, Jennifer, 2023. "Optimizing mixed bundle pricing strategy: Advance selling and consumer regret," Omega, Elsevier, vol. 115(C).
    6. Baojun Jiang & Chakravarthi Narasimhan & Özge Turut, 2017. "Anticipated Regret and Product Innovation," Management Science, INFORMS, vol. 63(12), pages 4208-4323, December.
    7. Xiaohu Qian & Shu-Cherng Fang & Min Huang & Qi An & Xingwei Wang, 2018. "Reverse auctions with regret-anticipated bidders," Annals of Operations Research, Springer, vol. 268(1), pages 293-313, September.
    8. Kuang, Yunjuan & Ng, Chi To, 2018. "Pricing substitutable products under consumer regrets," International Journal of Production Economics, Elsevier, vol. 203(C), pages 286-300.
    9. Han Bleichrodt & Alessandra Cillo & Enrico Diecidue, 2010. "A Quantitative Measurement of Regret Theory," Management Science, INFORMS, vol. 56(1), pages 161-175, January.
    10. Richard Engelbrecht-Wiggans & Elena Katok, 2009. "A Direct Test of Risk Aversion and Regret in First Price Sealed-Bid Auctions," Decision Analysis, INFORMS, vol. 6(2), pages 75-86, June.
    11. Pierpaolo Battigalli & Martin Dufwenberg, 2022. "Belief-Dependent Motivations and Psychological Game Theory," Journal of Economic Literature, American Economic Association, vol. 60(3), pages 833-882, September.
    12. Xiao, Haohan & Xu, Meng, 2022. "Modelling bidding behaviors in shared parking auctions considering anticipated regrets," Transportation Research Part A: Policy and Practice, Elsevier, vol. 161(C), pages 88-106.
    13. Tianxin Zou & Bo Zhou & Baojun Jiang, 2020. "Product-Line Design in the Presence of Consumers’ Anticipated Regret," Management Science, INFORMS, vol. 66(12), pages 5665-5682, December.
    14. Enrico Diecidue & Nils Rudi & Wenjie Tang, 2012. "Dynamic Purchase Decisions Under Regret: Price and Availability," Decision Analysis, INFORMS, vol. 9(1), pages 22-30, March.
    15. Chatwin, Richard E., 2000. "Optimal dynamic pricing of perishable products with stochastic demand and a finite set of prices," European Journal of Operational Research, Elsevier, vol. 125(1), pages 149-174, August.
    16. Qin, Jie, 2015. "A model of regret, investor behavior, and market turbulence," Journal of Economic Theory, Elsevier, vol. 160(C), pages 150-174.
    17. Namin, Aidin & Soysal, Gonca P. & Ratchford, Brian T., 2022. "Alleviating demand uncertainty for seasonal goods: An analysis of attribute-based markdown policy for fashion retailers," Journal of Business Research, Elsevier, vol. 145(C), pages 671-681.
    18. Gonca P. Soysal & Lakshman Krishnamurthi, 2012. "Demand Dynamics in the Seasonal Goods Industry: An Empirical Analysis," Marketing Science, INFORMS, vol. 31(2), pages 293-316, March.
    19. Nathan C. Craig & Ananth Raman, 2016. "Improving Store Liquidation," Manufacturing & Service Operations Management, INFORMS, vol. 18(1), pages 89-103, February.
    20. Michele Fioretti & Alexander Vostroknutov & Giorgio Coricelli, 2022. "Dynamic Regret Avoidance," American Economic Journal: Microeconomics, American Economic Association, vol. 14(1), pages 70-93, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:ormnsc:v:68:y:2022:i:6:p:4398-4414. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.